xclim: xarray-based climate data analytics Article Swipe

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Pascal Bourgault , David Huard , Trevor Smith , Travis Logan , Abel Aoun , Juliette Lavoie , Éric Dupuis , Gabriel Rondeau‐Genesse , Raquel Alegre , Clair Barnes , Alexis Beaupré Laperrière , S. Biner , David A. Caron , Carsten Ehbrecht , Jeremy Fyke , Tom Keel , Marie-Pier Labonté , Ludwig Lierhammer , Jwen Fai Low , Jamie Quinn , Philippe Roy , Dougal T. Squire , Ag Stephens , Maliko Tanguy , Christopher T. Whelan ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.21105/joss.05415 · OA: W4377013082

xclim is a Python library that enables computation of climate indicators over large, hetero-\ngeneous data sets. It is built using xarray objects and operations, can seamlessly benefit\nfrom the parallelization handling provided by dask, and relies on community conventions for\ndata formatting and metadata attributes. xclim is meant as a tool to facilitate both climate\nscience research and the delivery of operational climate services and products. In addition to\nclimate indicator calculations, xclim also includes utilities for bias correction and statistical\nadjustment, ensemble analytics, model diagnostics, data quality assurance, and metadata\nstandards compliance.